Column classification machine learning models
By using machine-learning-based techniques for column classification and anomaly detection, the efficiency and reliability of predictive data analysis are enhanced, addressing the limitations of existing solutions by integrating column classification with anomaly detection and reducing computational overhead.
US12645979B2Active Publication Date: 2026-06-02OPTUM TECH INC
Patent Information
- Authority / Receiving Office
- US · United States
- Patent Type
- Patents(United States)
- Current Assignee / Owner
- OPTUM TECH INC
- Filing Date
- 2021-01-12
- Publication Date
- 2026-06-02
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Figure US12645979-D00000_ABST
Abstract
There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.
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